Abstract:This paper measures agricultural carbon emissions and?ratios of carbon sources of different provinces from?the perspective of eight major economic zones, then analyses regional characteristics and spatial agglomeration of agricultural carbon emissions by spatial autocorrelation analysis. Moreover,?the geographical weighted regression model is used to analyze the impact of various factors on carbon emissions at different time and space levels. Results show: (1) Rice fields account for the largest proportion of carbon emissions in the southeast coast, the middle reaches of the Yangtze river and the southwest regions. Agricultural materials and farmland account for the largest proportion of carbon emissions in the northern coast and the middle reaches of the Yellow River. In the northwest regions, except Ningxia and Xinjiang, animal breeding accounts for the largest proportion of carbon emissions.(2)There is a significant spatial positive correlation between provincial agricultural carbon emissions.(3)The total power of agricultural machinery has a positive impact on agricultural carbon emissions, agricultural openness and per capita agricultural GDP have a negative impact on agricultural carbon emissions for most provinces.The regression coefficients show an obvious gradient distribution in space. Finally, it puts forward some suggestions according to the empirical conclusions.